blob: 2afacb3ac188a9799c12f5538cdbd0c76a614917 [file] [log] [blame]
from bigquery_analytics import BigQueryAnalytics
import datetime
import re
import os
import sys
import time
import json
import traceback
import urllib2
if os.path.exists("/home/smbaker/projects/vicci/plstackapi/planetstack"):
sys.path.append("/home/smbaker/projects/vicci/plstackapi/planetstack")
else:
sys.path.append("/opt/planetstack")
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "planetstack.settings")
from django import db
from django.db import connection
from core.models import Slice, Sliver, ServiceClass, Reservation, Tag, Network, User, Node, Image, Deployment, Site, NetworkTemplate, NetworkSlice, Service
BLUE_LOAD=5000000
RED_LOAD=15000000
glo_cached_queries = {}
class PlanetStackAnalytics(BigQueryAnalytics):
def __init__(self, tableName="demoevents"):
BigQueryAnalytics.__init__(self, tableName)
def service_to_sliceNames(self, serviceName):
service=Service.objects.get(name=serviceName)
try:
slices = service.slices.all()
except:
# BUG in data model -- Slice.service has related name 'service' and
# it should be 'slices'
slices = service.service.all()
return [slice.name for slice in slices]
def compose_query(self, slice=None, site=None, node=None, service=None, timeBucket="60", avg=[], sum=[], count=[], computed=[], val=[], groupBy=["Time"], orderBy=["Time"], tableName="demoevents", latest=False, max_age=60*60):
max_age = max_age * 1000
tablePart = "[%s.%s@-%d--1]" % ("vicci", tableName, max_age)
fields = []
fieldNames = []
srcFieldNames = ["time"]
fields.append("SEC_TO_TIMESTAMP(INTEGER(TIMESTAMP_TO_SEC(time)/%s)*%s) as Time" % (str(timeBucket),str(timeBucket)))
#fields.append("INTEGER(TIMESTAMP_TO_SEC(time)/%s)*%s as Time" % (str(timeBucket),str(timeBucket)))
for fieldName in avg:
fields.append("AVG(%s) as avg_%s" % (fieldName, fieldName.replace("%","")))
fieldNames.append("avg_%s" % fieldName.replace("%",""))
srcFieldNames.append(fieldName)
for fieldName in sum:
fields.append("SUM(%s) as sum_%s" % (fieldName, fieldName.replace("%","")))
fieldNames.append("sum_%s" % fieldName.replace("%",""))
srcFieldNames.append(fieldName)
for fieldName in count:
fields.append("COUNT(distinct %s) as count_%s" % (fieldName, fieldName.replace("%","")))
fieldNames.append("count_%s" % fieldName.replace("%",""))
srcFieldNames.append(fieldName)
for fieldName in val:
fields.append(fieldName)
fieldNames.append(fieldName)
srcFieldNames.append(fieldName)
for fieldName in computed:
operator = "/"
parts = fieldName.split("/")
computedFieldName = "computed_" + parts[0].replace("%","")+"_div_"+parts[1].replace("%","")
if len(parts)==1:
operator = "*"
parts = computed.split("*")
computedFieldName = "computed_" + parts[0].replace("%","")+"_mult_"+parts[1].replace("%","")
fields.append("SUM(%s)%sSUM(%s) as %s" % (parts[0], operator, parts[1], computedFieldName))
fieldNames.append(computedFieldName)
srcFieldNames.append(parts[0])
srcFieldNames.append(parts[1])
for fieldName in groupBy:
if (fieldName not in ["Time"]):
fields.append(fieldName)
fieldNames.append(fieldName)
srcFieldNames.append(fieldName)
fields = ", ".join(fields)
where = []
if slice:
where.append("%%slice='%s'" % slice)
if site:
where.append("%%site='%s'" % site)
if node:
where.append("%%hostname='%s'" % node)
if service:
sliceNames = self.service_to_sliceNames(service)
if sliceNames:
where.append("(" + " OR ".join(["%%slice='%s'" % sliceName for sliceName in sliceNames]) +")")
if where:
where = " WHERE " + " AND ".join(where)
else:
where =""
if groupBy:
groupBySub = " GROUP BY " + ",".join(groupBy + ["%hostname"])
groupBy = " GROUP BY " + ",".join(groupBy)
else:
groupBySub = " GROUP BY %hostname"
groupBy = ""
if orderBy:
orderBy = " ORDER BY " + ",".join(orderBy)
else:
orderBy = ""
if latest:
latestFields = ["table1.%s as %s" % (x,x) for x in srcFieldNames]
latestFields = ", ".join(latestFields)
tablePart = """(SELECT %s FROM %s AS table1
JOIN
(SELECT %%hostname, event, max(time) as maxtime from %s GROUP BY %%hostname, event) AS latest
ON
table1.%%hostname = latest.%%hostname AND table1.event = latest.event AND table1.time = latest.maxtime)""" % (latestFields, tablePart, tablePart)
if computed:
subQuery = "SELECT %%hostname, %s FROM %s" % (fields, tablePart)
if where:
subQuery = subQuery + where
subQuery = subQuery + groupBySub
sumFields = []
for fieldName in fieldNames:
if fieldName.startswith("avg"):
sumFields.append("AVG(%s) as avg_%s"%(fieldName,fieldName))
sumFields.append("MAX(%s) as max_%s"%(fieldName,fieldName))
elif (fieldName.startswith("count")) or (fieldName.startswith("sum")) or (fieldName.startswith("computed")):
sumFields.append("SUM(%s) as sum_%s"%(fieldName,fieldName))
else:
sumFields.append(fieldName)
sumFields = ",".join(sumFields)
query = "SELECT %s, %s FROM (%s)" % ("Time", sumFields, subQuery)
if groupBy:
query = query + groupBy
if orderBy:
query = query + orderBy
else:
query = "SELECT %s FROM %s" % (fields, tablePart)
if where:
query = query + " " + where
if groupBy:
query = query + groupBy
if orderBy:
query = query + orderBy
return query
def get_list_from_req(self, req, name, default=[]):
value = req.GET.get(name, None)
if not value:
return default
value=value.replace("@","%")
return value.split(",")
def format_result(self, format, result, query, dataSourceUrl):
if (format == "json_dicts"):
result = {"query": query, "rows": result, "dataSourceUrl": dataSourceUrl}
return ("application/javascript", json.dumps(result))
elif (format == "json_arrays"):
new_result = []
for row in result:
new_row = []
for key in sorted(row.keys()):
new_row.append(row[key])
new_result.append(new_row)
new_result = {"query": query, "rows": new_result}
return ("application/javascript", json.dumps(new_result))
elif (format == "html_table"):
new_rows = []
for row in result:
new_row = []
for key in sorted(row.keys()):
new_row.append("<TD>%s</TD>" % str(row[key]))
new_rows.append("<TR>%s</TR>" % "".join(new_row))
new_result = "<TABLE>%s</TABLE>" % "\n".join(new_rows)
return ("text/html", new_result)
def merge_datamodel_sites(self, rows, slice=None):
""" For a query that included "site" in its groupby, merge in the
opencloud site information.
"""
if slice:
try:
slice = Slice.objects.get(name=slice)
except:
slice = None
for row in rows:
sitename = row["site"]
try:
model_site = Site.objects.get(name=sitename)
except:
# we didn't find it in the data model
continue
allocated_slivers = 0
if model_site and slice:
for sliver in slice.slivers.all():
if sliver.node.site == model_site:
allocated_slivers = allocated_slivers + 1
row["lat"] = float(model_site.location.latitude)
row["long"] = float(model_site.location.longitude)
row["url"] = model_site.site_url
row["numNodes"] = model_site.nodes.count()
row["allocated_slivers"] = allocated_slivers
max_cpu = row.get("max_avg_cpu", row.get("max_cpu",0))
cpu=float(max_cpu)/100.0
row["hotness"] = max(0.0, ((cpu*RED_LOAD) - BLUE_LOAD)/(RED_LOAD-BLUE_LOAD))
def compose_latest_query(self, fieldNames=None, groupByFields=["%hostname", "event"]):
""" Compose a query that returns the 'most recent' row for each (hostname, event)
pair.
"""
if not fieldNames:
fieldNames = ["%hostname", "%bytes_sent", "time", "event", "%site", "%elapsed", "%slice", "%cpu"]
fields = ["table1.%s AS %s" % (x,x) for x in fieldNames]
fields = ", ".join(fields)
tableDesc = "%s.%s" % (self.projectName, self.tableName)
groupByOn = ["table1.time = latest.maxtime"]
for field in groupByFields:
groupByOn.append("table1.%s = latest.%s" % (field, field))
groupByOn = " AND ".join(groupByOn)
groupByFields = ", ".join(groupByFields)
base_query = "SELECT %s FROM [%s@-3600000--1] AS table1 JOIN (SELECT %s, max(time) as maxtime from [%s@-3600000--1] GROUP BY %s) AS latest ON %s" % \
(fields, tableDesc, groupByFields, tableDesc, groupByFields, groupByOn)
return base_query
def get_cached_query_results(self, q, wait=True):
global glo_cached_queries
if q in glo_cached_queries:
if (time.time() - glo_cached_queries[q]["time"]) <= 60:
print "using cached query"
return glo_cached_queries[q]["rows"]
if not wait:
return None
print "refreshing cached query"
result = self.run_query(q)
glo_cached_queries[q] = {"time": time.time(), "rows": result}
return result
def process_request(self, req):
print req.GET
tqx = req.GET.get("tqx", None)
slice = req.GET.get("slice", None)
site = req.GET.get("site", None)
node = req.GET.get("node", None)
service = req.GET.get("service", None)
format = req.GET.get("format", "json_dicts")
timeField = req.GET.get("timeBucket", "60")
avg = self.get_list_from_req(req, "avg")
sum = self.get_list_from_req(req, "sum")
count = self.get_list_from_req(req, "count")
computed = self.get_list_from_req(req, "computed")
groupBy = self.get_list_from_req(req, "groupBy", ["Time"])
orderBy = self.get_list_from_req(req, "orderBy", ["Time"])
maxRows = req.GET.get("maxRows", None)
mergeDataModelSites = req.GET.get("mergeDataModelSites", None)
cached = req.GET.get("cached", None)
q = self.compose_query(slice, site, node, service, timeField, avg, sum, count, computed, [], groupBy, orderBy)
print q
dataSourceUrl = "http://" + req.META["SERVER_NAME"] + ":" + req.META["SERVER_PORT"] + req.META["PATH_INFO"] + "?" + req.META["QUERY_STRING"].replace("format=","origFormat=").replace("%","%25") + "&format=charts";
if (format=="dataSourceUrl"):
result = {"dataSourceUrl": dataSourceUrl}
return ("application/javascript", result)
elif (format=="raw"):
result = self.run_query_raw(q)
result["dataSourceUrl"] = dataSourceUrl
result = json.dumps(result);
return ("application/javascript", result)
elif (format=="nodata"):
result = {"dataSourceUrl": dataSourceUrl, "query": q}
result = json.dumps(result);
return {"application/javascript", result}
elif (format=="charts"):
bq_result = self.run_query_raw(q)
# cloudscrutiny code is probably better!
table = {}
table["cols"] = self.schema_to_cols(bq_result["schema"])
rows = []
if "rows" in bq_result:
for row in bq_result["rows"]:
rowcols = []
for (colnum,col) in enumerate(row["f"]):
if (colnum==0):
dt = datetime.datetime.fromtimestamp(float(col["v"]))
rowcols.append({"v": 'new Date("%s")' % dt.isoformat()})
else:
try:
rowcols.append({"v": float(col["v"])})
except:
rowcols.append({"v": col["v"]})
rows.append({"c": rowcols})
table["rows"] = rows
if tqx:
reqId = tqx.strip("reqId:")
else:
reqId = "0"
result = {"status": "okColumnChart", "reqId": reqId, "table": table, "version": "0.6"}
result = "google.visualization.Query.setResponse(" + json.dumps(result) + ");"
def unquote_it(x): return x.group()[1:-1].replace('\\"', '"')
p = re.compile(r'"new Date\(\\"[^"]*\\"\)"')
result=p.sub(unquote_it, result)
return ("application/javascript", result)
else:
if cached:
results = self.get_cached_query_results(self.compose_latest_query())
filter={}
if slice:
filter["slice"] = slice
if site:
filter["site"] = site
if node:
filter["hostname"] = node
result = self.postprocess_results(results, filter=filter, sum=sum, count=count, avg=avg, computed=computed, maxDeltaTime=120, groupBy=["doesnotexist"])
else:
result = self.run_query(q)
if maxRows:
result = result[-int(maxRows):]
if mergeDataModelSites:
self.merge_datamodel_sites(result)
return self.format_result(format, result, q, dataSourceUrl)
def DoPlanetStackAnalytics(request):
bq = PlanetStackAnalytics()
result = bq.process_request(request)
return result
def main():
bq = PlanetStackAnalytics()
q = bq.compose_latest_query(groupByFields=["%hostname", "event", "%slice"])
results = bq.run_query(q)
#results = bq.postprocess_results(results,
# filter={"slice": "HyperCache"},
# groupBy=["site"],
# computed=["bytes_sent/elapsed"],
# sum=["bytes_sent", "computed_bytes_sent_div_elapsed"], avg=["cpu"],
# maxDeltaTime=60)
results = bq.postprocess_results(results, filter={"slice": "HyperCache"}, maxi=["cpu"], count=["hostname"], computed=["bytes_sent/elapsed"], groupBy=["Time", "site"], maxDeltaTime=80)
bq.dump_table(results)
sys.exit(0)
q=bq.compose_query(sum=["%bytes_sent"], avg=["%cpu"], latest=True, groupBy=["Time", "%site"])
print q
bq.dump_table(bq.run_query(q))
q=bq.compose_query(avg=["%cpu","%bandwidth"], count=["%hostname"], slice="HyperCache")
print q
bq.dump_table(bq.run_query(q))
q=bq.compose_query(computed=["%bytes_sent/%elapsed"])
print
print q
bq.dump_table(bq.run_query(q))
q=bq.compose_query(timeBucket=60*60, avg=["%cpu"], count=["%hostname"], computed=["%bytes_sent/%elapsed"])
print
print q
bq.dump_table(bq.run_query(q))
if __name__ == "__main__":
main()